Associate Software Engineer - AI

Team Description

We are looking for an Associate Software Engineer to join one of our engineering teams here in Sheffield. Working as part of the Pendo Listen engineering group you will build tools that leverage AI to help our customers transform product feedback into insights they can use to improve their own software experiences.

Built in Go on top of Google Cloud Platform Pendos back end architecture processes hundreds of thousands of events per second integrating with various third party tools and services including LLMs to create insights from qualitative customer data.

As a software engineer you will be joining a strong team who love to build systems that scale in a collaborative environment between engineering product and design.

Role Responsibilities

• Demonstrates a genuine interest in Artificial Intelligence and its practical applications actively seeking opportunities to explore and integrate AI technologies into their work
• Write maintainable high-quality code that requires few iterations
• Gain a deep understanding of the companys technology stack
• Take ownership of tasks and projects within the team collaborating with peers to break down work into manageable components
• Actively participate in agile ceremonies refinement sessions and other team activities
• Effectively communicating ideas concerns and potential solutions
• Exhibit a growth mindset by demonstrating self-awareness and a commitment to continuous learning and improvement
• Collaborate closely with product managers designers and other team members to plan design and implement new product features
• Adapt to a fast-paced product-led environment demonstrating flexibility and the ability to learn new technologies quickly

Minimum Qualifications

• Bachelors degree in Computer Science or related field - or equivalent experience
• Strong foundation in software engineering principles including data structures algorithms and software design
• Solid understanding of web application architecture including APIs HTTP requests databases caching and related concepts

Preferred Qualifications

• Experience with Agentic AI systems LLMs tool use and Model Context Protocol
• Experience with cloud based infrastructure (AWS GCP Azure)
• Experience with unit testing performance testing and/or automated integration testing
• Familiarity with build tools CI/CD and development workflows
• Familiarity with Go or similar server side object oriented language (eg Java C C#)

Pendo Description:

Pendo was founded in 2013 by former product managers who combined their heads and hearts to build something they wanted but never had as product managers -- a simple way to understand and attack what truly drives product success. Our mission is to improve societys experience with software.

Come join one of the fastest-growing startups supported by best-in-class institutions like Battery Ventures Salesforce Ventures Spark Capital and Meritech. You will gain experience in a diverse and exciting set of technologies and clients and have a real impact on Pendos future. Our culture is passionate dynamic and fun.

EEOC

We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds experiences abilities and perspectives.

Accessibility

Pendo is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process please send a request to: All requests for accommodations are treated discreetly and confidentially as practical and permitted by law.

Compensation

Our salary ranges are based on paying competitively for our size and industry and are one part of many compensation benefits and other reward opportunities we provide.

The expected salary range for this role to be performed in Sheffield UK is 35000 - 40000.

Individual pay rate decisions including offers made within and over the expected salary range are based on a number of factors including qualifications for the role experience level skillset and balancing internal equity relative to peers at the company.